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Title: | Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation |
Authors: | Petrenko, Sergei. ; |
subject: | Computer Science;Big data. ;;Computer Security;Computer Science;Systems and Data Security;Security. ;;Big Data/Analytics. ;;International Security Studies. ; |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Abstract: | This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets. Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system. Most books on cybersecurity focus solely on the technical aspects. But Big Data Technologies for Monitoring of Computer Security demonstrates that military and political considerations should be included as well. With a broad market including architects and research engineers in the field of information security, as well as managers of corporate and state structures, including Chief Information Officers of domestic automation services (CIO) and chief information security officers (CISO), this book can also be used as a case study in university courses. . ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319790350. ; QA76.9.A25 ; 005.8 ; 23 ; |
URI: | http://localhost/handle/Hannan/782 |
ISBN: | 9783319790367 ; 9783319790350 (print) ; |
More Information: | XXVII, 249 p. 93 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319790350.pdf | 7.48 MB | Adobe PDF | Preview File |
Title: | Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation |
Authors: | Petrenko, Sergei. ; |
subject: | Computer Science;Big data. ;;Computer Security;Computer Science;Systems and Data Security;Security. ;;Big Data/Analytics. ;;International Security Studies. ; |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Abstract: | This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets. Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system. Most books on cybersecurity focus solely on the technical aspects. But Big Data Technologies for Monitoring of Computer Security demonstrates that military and political considerations should be included as well. With a broad market including architects and research engineers in the field of information security, as well as managers of corporate and state structures, including Chief Information Officers of domestic automation services (CIO) and chief information security officers (CISO), this book can also be used as a case study in university courses. . ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319790350. ; QA76.9.A25 ; 005.8 ; 23 ; |
URI: | http://localhost/handle/Hannan/782 |
ISBN: | 9783319790367 ; 9783319790350 (print) ; |
More Information: | XXVII, 249 p. 93 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319790350.pdf | 7.48 MB | Adobe PDF | Preview File |
Title: | Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation |
Authors: | Petrenko, Sergei. ; |
subject: | Computer Science;Big data. ;;Computer Security;Computer Science;Systems and Data Security;Security. ;;Big Data/Analytics. ;;International Security Studies. ; |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Abstract: | This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets. Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system. Most books on cybersecurity focus solely on the technical aspects. But Big Data Technologies for Monitoring of Computer Security demonstrates that military and political considerations should be included as well. With a broad market including architects and research engineers in the field of information security, as well as managers of corporate and state structures, including Chief Information Officers of domestic automation services (CIO) and chief information security officers (CISO), this book can also be used as a case study in university courses. . ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319790350. ; QA76.9.A25 ; 005.8 ; 23 ; |
URI: | http://localhost/handle/Hannan/782 |
ISBN: | 9783319790367 ; 9783319790350 (print) ; |
More Information: | XXVII, 249 p. 93 illus. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319790350.pdf | 7.48 MB | Adobe PDF | Preview File |